- What is an event in Kafka?
- When should I use Kafka?
- Is Kafka a message bus?
- Can Kafka replace ESB?
- Is Kafka An event bus?
- Is Kafka a JMS?
- Why is Franz Kafka so popular?
- Does Netflix use Kafka?
- Why Kafka is used in Microservices?
- What is the difference between Kafka and MQ?
- Is Apache Kafka and ESB?
- Is Kafka a Microservice?
- Why Kafka is so fast?
- What problems does Kafka solve?
- Where can I use Kafka in Microservices?
- Can Kafka replace JMS?
- Is Kafka stateful or stateless?
- Does Kinesis use Kafka?
What is an event in Kafka?
What is called “event” in the streaming context (if we speak about Kafka Streams API) is a “message” in the normal Kafka usage.
The topic is the place where you store messages (or events, in streaming context)..
When should I use Kafka?
You can use Kafka to replicate data between nodes, to re-sync for nodes, and to restore state. While Kafka is mostly used for real-time data analytics and stream processing, you can also use it for log aggregation, messaging, click-stream tracking, audit trails, and much more.
Is Kafka a message bus?
Kafka is a message bus optimized for high-ingress data streams and replay. Kafka can be seen as a durable message broker where applications can process and re-process streamed data on disk.”
Can Kafka replace ESB?
Some organizations recreate ESB antipatterns with Kafka by centralizing the Kafka ecosystem components—such as connectors and stream processors—instead of allowing these components to live with product or service teams.
Is Kafka An event bus?
Apache Kafka (http://kafka.apache.org/) is a unified distributed platform for handling all the real time data feeds of an organization. A distributed platform in Kafka consists of: Message queueing.
Is Kafka a JMS?
Kafka and JMS both are messaging system. Java message service is an api which are provided by Java. … Apache Kafka is a distributed publish-subscribe messaging system that receives data from disparate source systems and makes the data available to target systems in real time.
Why is Franz Kafka so popular?
Franz Kafka’s work is characterized by anxiety and alienation, and his characters often face absurd situations. He is famous for his novels The Trial, in which a man is charged with a crime that is never named, and The Metamorphosis, in which the protagonist wakes to find himself transformed into an insect.
Does Netflix use Kafka?
Netflix embraces Apache Kafka® as the de-facto standard for its eventing, messaging, and stream processing needs. Kafka acts as a bridge for all point-to-point and Netflix Studio wide communications.
Why Kafka is used in Microservices?
The result is an architecture with services that are scalable, independent of each other, and fungible. Using Kafka for asynchronous communication between microservices can help you avoid bottlenecks that monolithic architectures with relational databases would likely run into.
What is the difference between Kafka and MQ?
Apache Kafka is designed to enable the streaming of real time data feeds and is an open source tool that users can access for free. IBM MQ is a traditional message queue system that allows multiple subscribers to pull messages from the end of the queue.
Is Apache Kafka and ESB?
Apache Kafka and Enterprise Service Bus (ESB) are complementary, not competitive! … It evolved to a streaming platform including Kafka Connect, Kafka Streams, KSQL and many other open source components. Kafka leverages events as a core principle.
Is Kafka a Microservice?
Apache Kafka is one of the most popular tools for microservice architectures. It’s an extremely powerful instrument in the microservices toolchain, which solves a variety of problems. At eBay Classifieds, we use Kafka in many places and we see commonalities that provide a blueprint for our architecture.
Why Kafka is so fast?
Kafka relies on the filesystem for the storage and caching. The problem is disks are slower than RAM. This is because the seek-time through a disk is large compared to the time required for actually reading the data. But if you can avoid seeking, then you can achieve latencies as low as RAM in some cases.
What problems does Kafka solve?
Kafka’s origin story at LinkedIn The problem they originally set out to solve was low-latency ingestion of large amounts of event data from the LinkedIn website and infrastructure into a lambda architecture that harnessed Hadoop and real-time event processing systems. The key was the “real-time” processing.
Where can I use Kafka in Microservices?
Popular use cases of Kafka include:The traditional messaging, to decouple data producers from processors with better latency and scalability.Site activity tracking with real-time publish-subscribe feeds.As a replacement for file-based log aggregation, where event data becomes a stream of messages.More items…•
Can Kafka replace JMS?
Yes. It can be both. Kafka is like a queue for consumer groups, which we cover later. Basically, Kafka is a queue system per consumer group so it can do load balancing like JMS, RabbitMQ, etc.
Is Kafka stateful or stateless?
Kafka Streams is a java library used for analyzing and processing data stored in Apache Kafka. As with any other stream processing framework, it’s capable of doing stateful and/or stateless processing on real-time data.
Does Kinesis use Kafka?
Like many of the offerings from Amazon Web Services, Amazon Kinesis software is modeled after an existing Open Source system. In this case, Kinesis is modeled after Apache Kafka. Kinesis is known to be incredibly fast, reliable and easy to operate.